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A human finger and a robotic finger touch each other in front of a background with digital technology and the inscription

Robot-assisted interaction systems

RobIn4LeMi: For employees who have undergone a change in performance
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HomeResearch & DevelopmentRobot assisted interaction systems

RobIn4LeMi helps

The RobIn4LeMi project is all about robot-assisted interaction systems. The aim is to develop and research a needs-based assistance robot that supports people with reduced mobility in the company. The term "performance-impaired employees" refers to people who are so physically restricted, for example following an accident or illness, that they are no longer able to carry out their previous work as usual.

RobIn4LeMi is a project network with partners from science and industry. The project, which runs until October 2023, is funded by the Bavarian State Ministry of Economic Affairs, Regional Development and Energy.

A human operates a robotic arm system equipped with a control console and a container marked in red.

Technology as the key

In order for those affected to be able to continue carrying out their previous activities despite their limitations, the workplace in assembly must be technically upgraded in future. The research project focuses on a robotic arm that offers components or tools in different positions, for example. It also includes a camera that enables hand tracking and gesture control, as well as software that recognizes the emotional state of the person.

Step by step to the robotic arm

The project is divided into several development stages: In the first stage, MaibornWolff worked with the Fraunhofer Institute to analyze the existing workplace situation for employees with disabilities at the Ulrichswerkstätten. In the second phase, a model was jointly developed that precisely identifies the activities that can no longer be performed in full. We are currently investigating which interaction systems are already available on the market that are suitable for use.

One user interface shows a body illustration in which different areas of the body are marked for their mobility.

Success with machine learning?

Machine learning approaches are also to be implemented in the later phases of the research project: In order for the assistance system to be used flexibly and individually, it must be able to react independently, learn and take on new tasks. To this end, the data from the interaction systems is being collected and analyzed to determine whether this can be implemented in practice using machine learning algorithms.

A complex machine with a robotic arm and built-in display works on a mobile frame.

Preparations for the practical test

There is still a lot to do before the robotic arm can act as a helping hand. A demonstrator is being built in the Augsburg office of MaibornWolff. This is a rollable storage table that will be equipped with a robotic arm, touchscreen, gesture and voice control as well as a camera system that enables eye tracking. The architecture for the platform, to which all assistance systems are connected, is currently the focus of development.

At the same time, we are developing a web application to record the performance changes and work steps. An intelligent algorithm will be used to decide how the robot system will support employees who have undergone performance changes.

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